NOTE – YOU HAVE TO BE VERY GOOD AT PYTHON TO SOLVE THIS PROBLEM. Data set (wine_fraud ) will be provided and LECTURE NOTEBOOK with all the CODES will also be provided.
Assignment Requirements –
Use K-Means for this analysis: State and defend all your assumptions about the dataset. Defend yourself!!!Make sure you cleanup your data, including the readability of your dataset
EDA!!! Explore your data!
Categorical vs numeric columns in your dataset
Would normalizing your dataset help?
Cluster the wines to see if there are some natural groupings
Use PCA to plot the clusters
Discover any insights from this analysis? (include numbers/graphs corresponding to your reasoning)Summarize your findings.
What does the PCA plot tell you about your clustering?
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